Earnings
+34%
Assets
+58%
Hunger
–42%
Our impact on recipient households has been documented by a rigorous third-party experimental evaluation (RCT), considered the gold standard for evidence. Read more [pdf]
91%
We're averaging $0.91 per dollar placed directly in the hands of the poor. Read more
We deliver payments electronically and use advanced tools to manage logistics and fraud. See how we do it
4
Evaluations underway or completed
We address policy questions that keep emerging-market leaders up at night. Studies in progress examine the optimal design and macroeconomic impact of transfers. Read more
Performance relative to target (click to verify)
the number of households a field officer visits per day, relative to a target of 12 Verify this [csv]
the percent of questions about GiveDirectly that recipients answer correctly, relative to a target of 100%
the average time from census to token payment, normalized to a target of 63 days Verify this [csv]
the percent of recipients we reach by phone for follow up, relative to a target of 100% Verify this [csv]
We publish our internal unedited performance data. This month, productivity and follow up dipped as we concentrated on hard-to-reach households and transitioned to new regions.
We have recently begun inviting donors from a variety of backgrounds to reflect on “why I give directly.” To start off the series, we have a post from Jake Stein, cofounder of Philadelphia-based data analytics software company, RJMetrics. Read more about why Jake gives directly.